{"id":"W1971462664","doi":"10.3747/co.v15i4.288","title":"Healing and Survivorship: What Makes a Difference?","year":2008,"lang":"en","type":"article","venue":"Current Oncology","topic":"Cancer survivorship and care","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre","funders":"","keywords":"Survivorship curve; Medicine; Bioinformatics; Cancer; Biology; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01011033,0.0005860573,0.00205518,0.002221865,0.003605858,0.0112434,0.001568233,0.008652436,0.005566624],"category_scores_gemma":[0.02500427,0.0003460919,0.000787314,0.002057119,0.01710621,0.01908234,0.00488526,0.009578339,0.001126753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003120493,"about_ca_system_score_gemma":0.007359298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003328693,"about_ca_topic_score_gemma":0.005469334,"domain_scores_codex":[0.9941064,0.00372529,0.0003085929,0.0003689406,0.001054781,0.0004359845],"domain_scores_gemma":[0.977964,0.01493222,0.001358777,0.0008951884,0.001976364,0.002873309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003224973,0.000317846,0.006673574,0.00690286,0.0002746346,0.000996785,0.02765866,0.0001839439,0.0004245618,0.135815,0.1162995,0.7041303],"study_design_scores_gemma":[0.00007848485,0.0005901491,0.01030616,0.01790245,0.0002119275,0.003182779,0.08336551,0.000176908,0.0003218904,0.3181076,0.5655669,0.0001891925],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.00378588,0.3945748,0.0007252651,0.587575,0.006765174,0.00001656939,0.00003246952,0.00002419663,0.006500707],"genre_scores_gemma":[0.1385757,0.7340339,0.002059222,0.09971606,0.02140415,0.0001162519,0.00008101043,0.00004676431,0.00396694],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0112434,"threshold_uncertainty_score":0.05346918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1478226658326017,"score_gpt":0.3888463870529663,"score_spread":0.2410237212203646,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}